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MRI segmentation

Papers

Showing 5175 of 177 papers

TitleStatusHype
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation0
Cloud-based Federated Learning Framework for MRI Segmentation0
Expert-Adaptive Medical Image Segmentation0
MRAnnotator: multi-Anatomy and many-Sequence MRI segmentation of 44 structures0
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRICode2
Testing the Segment Anything Model on radiology data0
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation0
VINNA for Neonates -- Orientation Independence through Latent AugmentationsCode0
Bayesian Neural Networks for 2D MRI Segmentation0
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
A 3D generative model of pathological multi-modal MR images and segmentationsCode1
Pelvic floor MRI segmentation based on semi-supervised deep learning0
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation0
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI SegmentationCode0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation0
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentationCode0
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer0
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach0
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation0
Sparse annotation strategies for segmentation of short axis cardiac MRI0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation0
Boundary-weighted logit consistency improves calibration of segmentation networks0
Identification of Novel Diagnostic Neuroimaging Biomarkers for Autism Spectrum Disorder Through Convolutional Neural Network-Based Analysis of Functional, Structural, and Diffusion Tensor Imaging Data Towards Enhanced Autism Diagnosis0
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